Zheng, Jianghua and Zhang, Zhangang and Ciepłuch, Błażej and Winstanley, Adam C. and Mooney, Peter and Jacob, Ricky (2013) A PostGIS-Based Pedestrian Way finding Module Using Open Street Map Data. In: 21st International Conference on Geoinformatics (GEOINFORMATICS), 2013. IEEE, pp. 1-5. ISBN 9781467362283

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Abstract

Open source GIS (OSG) is a fast developing field. When OSG is combined with Web2.0 and Service Orientated Architectures (SOA) technologies and more applications of Public Participation GIS, it has many advantages over commercial GIS software. Despite this, OSG still needs more improvement in terms of stability and functional integrity. In order to build more robust, more practical, and more functional LBS applications, this research investigates pedestrian-orientated wayfinding, with special requirements as its study topic. We describe some Web 2.0 routing APIs which can be easily used to provide general shortest path planning. However, these APIs cannot provide guidance services for specific user groups with special requirements, such as tourists in small towns. We take Maynooth as case-study. Maynooth is the only University town in Ireland with a population of approximately 20,000. This research uses OpenStreetMap (OSM) as spatial data source. OSM contains very spatially rich dataset. It is stored and managed in PostGIS/PostgreSQL. Through previous work on LBS applications using the CloudMade Routing API and OSM data, we present a Java-based wayfinding module implementing a restricted area version of Dijkstra algorithm. A set of native PostGIS spatial functions are used to improve performance of the routing algorithm. Results from our wayfinding algorithm are presented and compared with those obtained by using the CloudMade Routing API. Our results are promising and show that this special version of Dijkstra algorithm can take advantage of the spatial data stored in OSM. This work provides a base to build more effective pedestrian wayfinding algorithms which can be implemented in open source software and open APIs. This approach provides a feasible and economical LBS solution for small towns, villages and tourism regions outside larger cities.

Item Type:	Book Section
Keywords:	Wayfinding; OpenStreetMap(OSM); CloudMade; PostGIS; Pedestrian;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8086
Identification Number:	https://doi.org/10.1109/Geoinformatics.2013.6626049
Depositing User:	Dr. Adam Winstanley
Date Deposited:	28 Mar 2017 15:38
Journal or Publication Title:	Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), National Natural Science Foundation of China
URI:	http://ieeexplore.ieee.org
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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